The insurance software market has two tiers that are barely the same market. In the first, regional carriers, MGAs and smaller insurers will buy promising SaaS from a credible startup. In the second, Fortune 100 national carriers apply a bar that looks unrecognisable if the first tier is all you have sold into.
The gap between them is not 10x. It’s closer to 100x — in procurement depth, InfoSec expectations, integration complexity and commercial terms. Here is what the top tier actually requires.
A Compliance Posture That Survives a Carrier Audit
Carriers inherit regulator pressure through model audit rules and third-party risk frameworks, so onboarding you makes you part of their regulatory surface. That single fact explains most of what follows.
It is why SOC 2 Type 2 is table stakes rather than a differentiator, and why scoping to the Security criterion alone won’t clear the bar. Availability, Processing Integrity and Confidentiality are usually all on the ask list, with Privacy joining whenever policyholder data is in scope.
Beyond SOC 2, expect questions on HIPAA readiness for any medical data in claims, NAIC model audit rule alignment, PCI DSS where payments are involved, ISO 27001 alignment, and state-level privacy compliance across every operating state. A first full carrier questionnaire routinely runs past 300 line items.
A Tenancy Model That Isn’t Shared
Most early-stage SaaS runs a shared multi-tenant database with row-level security. Defensible in plenty of verticals — not when a Fortune 100 InfoSec team starts asking what actually isolates one carrier’s claim data from another’s.
What scales is logical isolation as a floor: separate schemas or databases per tenant, encryption at rest with per-tenant keys, and a dedicated-infrastructure option for the largest accounts. Shared tenancy can stay your default; the dedicated tier is what you offer when their security posture demands it.
Design the data layer for both on day one. Retrofitting isolation onto a shared schema in production is an architectural migration, not a feature flag.
Integration With Core Systems
Carriers run policy administration, claims management, underwriting, rating, billing and document management. Some of it exposes modern APIs. A great deal of it is mainframe-anchored, batch-file-driven, or wrapped in SOA layers accumulated over twenty years.
Architecture review is where this gets tested. If you cannot speak concretely about integration patterns for Guidewire, Duck Creek, Majesco or a legacy mainframe claims system, the review goes badly.
What works is pragmatism: a modern API surface for the net-new parts of the workflow, explicit adapters for core system integrations, and a named strategy for the batch-file and event-driven patterns that turn up in every single carrier project. Domain-aware engineers make the difference here, not strong generalists.
The Right Vocabulary
Insurance carries a precise vocabulary that carriers expect you to use without coaching. First notice of loss, adjuster workflow, subrogation, salvage, reinsurance, bordereau, loss triangles, bind-quote-issue, rate-rule-form, endorsement, cancellation, reinstatement.
Misuse those terms in a sales conversation and you have told the room the product was built without a domain expert present. You cannot add this in a sprint — it is hired or partnered. We have delivered insurance and insurtech work across 100+ companies, so the vocabulary sits in the team’s muscle memory and the carrier’s architects spend review time on hard questions instead of educating us.
A Real Incident and Availability Posture
Expect questions about uptime SLAs, RTO and RPO, incident response runbooks and business continuity. Expect to be asked for your last six incident reports. Expect to explain how you handle a cloud region outage, an upstream vendor breach, and a zero-day in a dependency.
Specificity is the whole game. A 99.9% SLA claim is not a sentence — it’s a dashboard, a runbook, a backup-restore test log and a tabletop exercise report. Build that evidence during the SOC 2 observation window, not in the week before final review.
Commercial Terms Built for Carriers
Carriers buy differently from mid-market insurers. Cyber insurance minimums in the low eight figures. Indemnification broader than a standard SaaS MSA. Audit rights written into the contract, including the right to audit your sub-processors. Data localization requirements that reach into your cloud region strategy. And a procurement cycle of six to nine months even when everything goes well.
This is where lean startups stall. The questionnaire arrives; if answers come back slow or partial, the deal decelerates, and by month three the internal sponsor has moved on to something else. A vendor with the artifacts already built answers in days.
The Path That Actually Worked
An insurance risk-intelligence startup with no in-house engineering team engaged Reslt AI and shipped an LLM-powered risk analysis product to three Fortune 100 carriers inside a single enterprise cycle.
What made it work: compliance-first engineering from sprint one, SOC 2 Type 2 scoped to all five Trust Services Criteria, a US architect on every carrier call, integration adapters for the carriers’ claims systems, a product that used the right vocabulary in the demo, and commercial terms pre-negotiated to carrier expectations.
None of that is impossible for a startup. It is simply expensive to assemble cold — which is the case for one partner owning architecture, delivery and compliance together, particularly when you get one shot at a Fortune 100 design partner.
Where to Start
Sequence matters more than speed. SOC 2 Type 2 scoping and pipeline stand-up come first, then your core system integration strategy, then tenancy isolation architecture, then a domain and terminology review, then carrier-ready commercial terms.
All five belong before the first formal procurement conversation. Skip any one of them and you add months to the first deal.
Related reading: Claims Management & Underwriting Software, Carrier-Grade · How a Startup Passed SOC 2 Type 2 With Zero Findings
Talk to Reslt AI
If this matches your next 12 months, Reslt AI can help: AI-Powered Test Automation, LLM Assurance and Governance Readiness for mortgage and insurance, the Data Exchange Engine for MISMO, and product engineering for the wider build — all inside your environment. Discuss your use case with our team.